Search results

The purpose of this paper is to propose an attention alignment method for opinion mining of massive open online course (MOOC) comments. Opinion mining is essential for MOOC applications. In this study, the authors analyze some of bidirectional encoder representations from transformers (BERT’s) attention heads and explore how to use these attention heads to extract opinions from MOOC comments.

The approach proposed is based on an attention alignment mechanism with the following three stages: first, extracting original opinions from MOOC comments with dependency parsing. Second, constructing frequent sets and using the frequent sets to prune the opinions. Third, pruning the opinions and discovering new opinions with the attention alignment mechanism.

The experiments on the MOOC comments data sets suggest that the opinion mining approach based on an attention alignment mechanism can obtain a better F1 score. Moreover, the attention alignment mechanism can discover some of the opinions filtered incorrectly by the frequent sets, which means the attention alignment mechanism can overcome the shortcomings of dependency analysis and frequent sets.

To take full advantage of pretrained language models, the authors propose an attention alignment method for opinion mining and combine this method with dependency analysis and frequent sets to improve the effectiveness. Furthermore, the authors conduct extensive experiments on different combinations of methods. The results show that the attention alignment method can effectively overcome the shortcomings of dependency analysis and frequent sets.

The purpose of this paper is to demonstrate the rationale, technical framework, content creation workflow and evaluation for a multilingual massive open online course (MOOC) to facilitate information literacy (IL) considering cultural aspects.

A good practice analysis built the basis for the technical and content framework. The evaluation approach consisted of three phases: first, the students were asked to fill out a short self-assessment questionnaire and a shortened adapted version of a standardized IL test. Second, they completed the full version of the IL MOOC. Third, they were asked to fill out the full version of a standardized IL test and a user experience questionnaire.

The results show that first the designed workflow was suitable in practice and led to the implementation of a full-grown MOOC. Second, the implementation itself provides implications for future projects developing multilingual educational resources. Third, the evaluation results show that participants achieved significantly higher results in a standardized IL test after attending the MOOC as mandatory coursework. Variations between the different student groups in the participating countries were observed. Fourth, self-motivation to complete the MOOC showed to be a challenge for students asked to attend the MOOC as nonmandatory out-of-classroom task. It seems that multilingual facilitation alone is not sufficient to increase active MOOC participation.

This paper presents an innovative approach of developing multilingual IL teaching resources and is one of the first works to evaluate the impact of an IL MOOC on learners' experience and learning outcomes in an international evaluation study.

The purpose of this paper is to investigate how, and the extent to which, massive open online courses (MOOCs) might be used in the accreditation of students’ prior learning, in programme delivery at international branch campuses, and for lecturers’ professional development (PD) in transnational higher education.

The data were obtained from two international branch campuses in the United Arab Emirates. The research adopted a qualitative methodology that involved 20 lecturers participating in semi-structured interviews and ten lecturers participating in a focus group. A rigorous process of content analysis was used to analyse and interpret the data.

Lecturers in transnational higher education perceived that MOOCs were not suitable for accredited prior learning but that they might be useful as a supplementary resource for student learning and for personal PD. There was a strong belief that as international branch campuses offered a commodified product, MOOCs were unlikely to be adopted as a replacement for traditional programme delivery methods, as students strongly prefer face-to-face teaching and support.

The research has identified a number of recommendations for higher education institutions operating in transnational settings, which might improve both institutional and individual performance. Institutions that intend to use MOOCs in programme delivery should consider how their students and staff would react to such a move, and how this might impact upon institutional image and reputation.

Surprisingly, there has been little academic research published on the use of MOOCs in higher education, and to the authors’ knowledge, this is the first study conducted in a transnational education setting. The uniqueness of the environment in which international branch campuses operate, as well as their different objectives and student profiles, provide the rationale for this research.

The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners’ online learning behaviors, and comparing three algorithms – multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).

Through literature review and analysis of data correlation in the original database, a framework of online learning behavior indicators containing 26 behaviors was constructed. The degree of correlation with the final learning performance was analyzed based on learners’ system interaction behavior, resource interaction behavior, social interaction behavior and independent learning behavior. A total of 12 behaviors highly correlated to learning performance were extracted as major indicators, and the MLR method, MLP method and CART method were used as typical algorithms to evaluate learners’ MOOC learning performance.

The behavioral indicator framework constructed in this study can effectively analyze learners’ learning, and the evaluation model constructed using the MLP method (89.91%) and CART method (90.29%) can better achieve the prediction of MOOC learners’ learning performance than using MLR method (83.64%).

This study explores the patterns and characteristics among different learning behaviors and constructs an effective prediction model for MOOC learners’ learning performance, which can help teachers understand learners’ learning status, locate learners with learning difficulties promptly and provide targeted instructional interventions at the right time to improve teaching quality.

The paper aims to explore and examine the factors that influence the post-consumption behavioral intentions of education consumers with the help of online reviews from a Massive Open Online Course (MOOC) platform in the knowledge payment context.

The paper adopted a novel mixed-method approach based on natural language processing (NLP) techniques. Variables were identified using topic modeling drawing upon 14,585 online reviews from a global commercial MOOC platform (Udemy.com). The relationships among identified factors, such as perceived quality dimensions, consumption emotions, and intention to recommend, were then tested from a cognition-affect-behavior (CAB) perspective using partial least squares structural equation modeling (PLS-SEM).

Results indicate that course content quality, instructor quality, and platform quality are strong predictors of consumers' emotions and intention to recommend. Interestingly, course content quality displays a positive effect on invoking negative emotions in the MOOC context. Additionally, positive emotions mediate the relationships between three perceived qualities and the intention to recommend.

Limited research has been conducted regarding MOOC consumers' post-consumption intentions in the knowledge payment context. Findings of this study address the limited literature on MOOC qualities and consumer post-consumption behaviors, which contribute to a comprehensive understanding of MOOC learners' experiences at a meso-level for future paid-MOOC creators.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2021-0482/

Using conceptions of transnationalism to (re)evaluate the field of comparative and international education (CIE), this chapter analyzes educational programming and policy for migrant refugee youth at the margins and borderlands of the nation-state system. Drawing from newspaper articles about displaced youth on Kenya’s eastern border and the southwestern U.S. border, this chapter focuses on comparative and international education’s potential influence on programming and policies in borderland regions. Both populations present the need for targeted educational programming within and outside of formal education systems and urgency for research linked with practice. We argue that CIE scholars can fill a critical, activist purpose to draw attention to educational access and curricular content in educational projects at the borders of the nation-state system, to investigate programming, and to work with practitioners and policy makers to address the needs of youth on the physical and figurative margins of education.

The cost of course materials to the individual student has increased over the past decade, contributing to educational inequity. Open educational resources (OERs) may be a solution and research validates their positive impact on student success outcomes (Colvard et al., 2018; Feldstein et al., 2012). Few studies, however, examine the role that library collections play in addressing course materials cost and student success. This paper aims to investigate whether materials costs are a significant factor in course pass rate and whether the library has a positive impact on pass rates.

Using required texts listed in syllabi for select undergraduate courses at California State University, Northridge (CSUN), the authors compare course materials costs for each course to the pass rate. The authors then measure the impact of course materials cost on the achievement gap between Pell Grant eligible and non-eligible students.

This study confirms previous research indicating that reduced course materials costs have a measurable impact on student success, in that the total minimum cost of required materials has a statistically significant effect on the percentage of students who pass a course. However, course reserves slightly increase the disparity between high-income and low-income students, suggesting that course reserves are a less effective way of supporting the latter compared to OERs.

This study is unique in examining the effect of the cost of course materials on students, regardless of the source of cost reductions. Most literature focuses on the qualitative efficacy of OERs instead of measured impact or the relationship between the cost of course materials and student success. The authors investigate the connection between OERs, library engagement and student success.

Virtual learning environments (VLE) have in the past 15 years radically changed the way learning objects are spread among students and the way learners communicate with teachers. In parallel, social networks are now widely used by users with all kinds of profiles. Among social networks, Facebook is the one offering the largest array of functions and possibilities to be used as an open platform for various kinds of applications. That is why, in this chapter, we provide an overview of the possible use of Facebook as a VLE supporting a Massive Open Online Course (MOOC). The authors distinguish generic functionalities that can be found in the three most popular xMOOC platforms as well as the relevant concepts needed for effective learning that are manipulated by such platforms. Then the authors evaluate how, within Facebook groups, features can be used to create a fully working MOOC environment. The authors distinguish notably class management, communication, collaboration, assessment, learning activity management and the possibilities for learning object management. Overall, the authors highlight that, except for the assessment, Facebook can support all of the functionalities required by a modern MOOC platform while offering a high social presence. While not vital for most MOOC followers, further developments can nevertheless be made to customise Facebook for ensuring this assessment functionality. The chapter can be used as guidance for an implementation of the social network as MOOC through the use of a Facebook group.

The purpose of this paper is to explore the nature of interactions between learners in a massive open online course (MOOC), particularly role of the tutors in such interactions. For educators concerned with sustainability literacy, the authors are necessarily both affected by, and effectors of, digital pedagogies. The call for papers for this special issue challenged the authors to consider whether digital pedagogies are “supportive of sustainability or perpetuators of unsustainability”. As might be expected, this question is not a simple binary choice and the authors have chosen to address it indirectly, by considering the nature of interaction in a global, digitally connected community of learners. In particular, the changing role of tutors in these communities, and the possible implications of this change on sustainable literacy, are examined.

The authors focus on the “Sustainability for Professionals” massive open online course (MOOC) delivered by the University of Bath on the FutureLearn platform which hosts the “Inside Cancer” MOOC, also from Bath. “Sustainability for Professionals” is pedagogically connectivist, with “Inside Cancer” being more traditional and instructor led. The authors used social network analysis (SNA) for the research. It is a key tool to understand interactions in an online environment and allows quantitative comparison between different networks and thus between courses. In the context of digital pedagogy, the authors used a number of relevant SNA metrics to carry out analysis of MOOC network structures.

It was found that MOOCs are different in their network structure but tend to adapt to the subject matter. Digital pedagogies for sustainability result in a qualitative as well as quantitative change in learning where course design affects the learning process and gatekeepers are critical for information flow. These gatekeepers are distinct from tutors in the network. In such a network, tutors’ role is limited to course delivery and verifying, depending on course content, the information within the network. The analysis shows that network learning is dependent on course design and content, and gatekeepers exercise influence over the information within the network.

This study has implications for sustainability literacy. The authors examined the extent to which patterns of interaction in the network affect the learning process, and how this can help participants engage with the concept of sustainability. They used SNA to explore the nature of interaction between learners in a MOOC, particularly the role of the tutors in mediating such interactions. They also found that tutors can and do take a central role in early runs of the MOOC; however, with the subsequent runs, the removal of tutor nodes has little effect, suggesting that different modes of learning driven by participants are possible in a MOOC community.

The purpose of this paper is to present a comparison of two ways of developing and delivering massive open online courses (MOOCs). One was developed by The Open University in collaboration with FutureLearn; the other was developed independently by a small team at the Northampton University.

The different approaches had very different profiles of pedagogic flexibility, cost, development processes, institutional support and participant numbers.

MOOCs on existing large platforms can reach thousands of people, but constrain pedagogical choice. Self-made MOOCs have smaller audiences but can target them more effectively.

This comparison shows that, several years after MOOCs became prominent, there are many viable approaches for MOOCs.